| User | Spiike |
| Upload Date | May 26 2025 07:52 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2805
521.6 IPS |
|
|
Image Classification (HP)
|
100% |
2818
524.0 IPS |
|
|
Image Classification (Q)
|
100% |
4086
760.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3452
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4900
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5479
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
10969
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2845
225.7 IPS |
|
|
Object Detection (HP)
|
100% |
2855
226.5 IPS |
|
|
Object Detection (Q)
|
87% |
4265
342.1 IPS |
|
|
Face Detection (SP)
|
100% |
8992
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
9095
108.1 IPS |
|
|
Face Detection (Q)
|
97% |
12545
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6955
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7277
56.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
11937
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16068
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16175
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31032
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6199
229.6 IPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (Q)
|
91% |
973
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4081
70.3 IPS |